3D face recognition system

Recently, face recognition systems were broadly applied to electronic commerce, fingerprint identification, personal identification and access control system. Methods and theories of identification system are unceasingly improved. Most identification systems have strict restriction in the identification angle of human appearance face. In this study, multiple angles of identification in virtual human appearance face system are provided. The system needs only human appearance face in anterior view, and the appearance can be simulated automatically in different angles. The gray level of light source is utilized to overcome the problem of the single image deficiency of stereographic depth information. In addition, the general statistic methods that distinguish the shape of appearance face in three-dimension are also provided to reduce the percentage of error in image.